[Immunology] Introduction to Bioinformatics

Heather Vincent via immuno%40net.bio.net (by Heather.Vincent from manchester.ac.uk)
Thu Sep 4 02:44:34 EST 2008

The distance learning course 'Introduction to Bioinformatics' from the 
University of Manchester, UK, begins again on 6 October 2008.  This is a 
Masters level course; credits can count towards either the MSc in 
Bioinformatics or the MSc in Immunology and Immunogenetics 

The course is delivered in a Virtual Learning Environment, which allows 
us to extend the classroom into the web.  Teaching and learning are 
focussed around tutor-supported exercises.  In this course, participants 
work together on the interpretation of their results, before receiving 
feedback from the course tutor.  Participants who wish to be assessed 
for credits at MSc level should complete additional independent research.

Week 1		Introduction to distance learning
		Bioinformatics as a knowledge-based discipline

Weeks 2 and 3	Introduction to the sequence databases
		Quality, redundancy and annotation
		Sequence retrieval exercise and group discussion

Weeks 4 and 5	Nucleic acid sequence analysis
		1. locating features in a genomic sequence;
		2. resources for genome structure prediction;
		3. evaluating the programs;
		4. genome annotation.
		Group work on the annotation of a genomic sequence

Weeks 6 and 7	Independent research and assessment

Weeks 8 and 9	Sequence alignment and database search
		1. use of BLAST and FASTA, choosing suitable options for a database 
		2. interpretation of the results.

Weeks 10 and 11	Protein function prediction.
		1. multiple sequence alignment;
		2. prediction of :
			a) transmembrane helices;
			b) other hydrophobic regions;
			c) various signal sequences.
		3. use of the motif and profile databases;

Weeks 12 and 13	Protein structure prediction
		Practical exercise and group discussion
Weeks 14 to 16	Independent research and work on the second assessment

Additional information is available here : 
http://octette.cs.man.ac.uk/bioinformatics/modules/bs6061.html or from 
Heather.Vincent from manchester.ac.uk

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